Potential mass surveillance and privacy violations in proximity-based social applications

Proximity-based social applications let users interact with people that are currently close to them, by revealing some information about their preferences and whereabouts. This information is acquired through passive geo-localisation and used to build a sense of serendipitous discovery of people, places and interests. Unfortunately, while this class of applications opens different interactions possibilities for people in urban settings, obtaining access to certain identity information could lead a possible privacy attacker to identify and follow a user in their movements in a specific period of time. The same information shared through the platform could also help an attacker to link the victim's online profiles to physical identities. We analyse a set of popular dating application that shares users relative distances within a certain radius and show how, by using the information shared on these platforms, it is possible to formalise a multilateration attack, able to identify the user actual position. The same attack can also be used to follow a user in all their movements within a certain period of time, therefore identifying their habits and Points of Interest across the city. Furthermore we introduce a social attack which uses common Facebook likes to profile a person and finally identify their real identity

Are HIV smartphone apps and online interventions fit for purpose?

Sexual health is an under-explored area of Human-Computer Interaction (HCI), particularly sexually transmitted infections such as HIV. Due to the stigma associated with these infections, people are often motivated to seek information online. With the rise of smartphone and web apps, there is enormous potential for technology to provide easily accessible information and resources. However, using online information raises important concerns about the trustworthiness of these resources and whether they are fit for purpose. We conducted a review of smartphone and web apps to investigate the landscape of currently available online apps and whether they meet the diverse needs of people seeking information on HIV online. Our functionality review revealed that existing technology interventions have a one-size-fits-all approach and do not support the breadth and complexity of HIV-related support needs. We argue that technology-based interventions need to signpost their offering and provide tailored support for different stages of HIV, including prevention, testing, diagnosis and management

Location, safety and (non) strangers in gay men’s narratives on ‘hook-up’ apps

Hook-up websites and apps are said to be transforming the sexual lives of gay men and have been linked with the apparent erosion of gay publics as the basis for identity politics and social action. This article examines these dynamics in the interview and focus-group talk of gay men living on the economic and geographical margins of metropolitan gay culture. It offers perspectives on the importance of location – class, generation and space – for the experience of digital media, the negotiation of safety, and the new codifications and elaborations on sex with the (non) stranger; a figure who is not alien, yet not familiar, in sexual sociality. Reflecting on these situated perspectives in connection with debates on the erosion of gay publics, this article argues against monolithic framings of gay men’s sexual lives after digital media

Money Walks: A Human-Centric Study on the Economics of Personal Mobile Data

In the context of a myriad of mobile apps which collect personally identifiable information (PII) and a prospective market place of personal data, we investigate a user-centric monetary valuation of mobile PII. During a 6-week long user study in a living lab deployment with 60 participants, we collected their daily valuations of 4 categories of mobile PII (communication, e.g. phonecalls made/received, applications, e.g. time spent on different apps, location and media, photos taken) at three levels of complexity (individual data points, aggregated statistics and processed, i.e. meaningful interpretations of the data). In order to obtain honest valuations, we employ a reverse second price auction mechanism. Our findings show that the most sensitive and valued category of personal information is location. We report statistically significant associations between actual mobile usage, personal dispositions, and bidding behavior. Finally, we outline key implications for the design of mobile services and future markets of personal data.Comment: 15 pages, 2 figures. To appear in ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp 2014

Evaluating 'Prefer not to say' Around Sensitive Disclosures

As people's offline and online lives become increasingly entwined, the sensitivity of personal information disclosed online is increasing. Disclosures often occur through structured disclosure fields (e.g., drop-down lists). Prior research suggests these fields may limit privacy, with non-disclosing users being presumed to be hiding undesirable information. We investigated this around HIV status disclosure in online dating apps used by men who have sex with men. Our online study asked participants (N=183) to rate profiles where HIV status was either disclosed or undisclosed. We tested three designs for displaying undisclosed fields. Visibility of undisclosed fields had a significant effect on the way profiles were rated, and other profile information (e.g., ethnicity) could affect inferences that develop around undisclosed information. Our research highlights complexities around designing for non-disclosure and questions the voluntary nature of these fields. Further work is outlined to ensure disclosure control is appropriately implemented around online sensitive information disclosures

Data cultures of mobile dating and hook-up apps : emerging issues for critical social science research

The ethical and social implications of data mining, algorithmic curation and automation in the context of social media have been of heightened concern for a range of researchers with interests in digital media in recent years, with particular concerns about privacy arising in the context of mobile and locative media. Despite their wide adoption and economic importance, mobile dating apps have received little scholarly attention from this perspective – but they are intense sites of data generation, algorithmic processing, and cross-platform data-sharing; bound up with competing cultures of pro- duction, exploitation and use. In this paper, we describe the ways various forms of data are incorporated into, and emerge from, hook-up apps’ business logics, socio-technical arrangements, and cultures of use to produce multiple and intersecting data cultures. We propose a multi-layered research agenda for critical and empirical inquiry into this field, and suggest appropriate conceptual and methodological frameworks for exploring the social and political challenges of data cultures

Snapping Live: Exploring the Effects of Ephemerality Nature of Messaging in Social Media Settings

Ephemeral messaging apps such as Snapchat has become a very popular app with young adults. The Snapchat application defined as an instant messaging app that allows its users to take pictures, videos, add a captions, doodles and send the content to a friend or add it to the user’s story. Importantly, “the snaps” will self-destruct after a specified period of time. Further investigation regarding the effects of using ephemeral nature of messaging in Computer-Mediated Communication (CMC) is explored in the theoretical framework of Hyperpersonal. This study was designed to examine the role of ephemeral nature of messaging in social media settings. Using responses from an online survey regarding Snapchat intensity, Self-Disclosure, Self- Presentation, Social Presence, Self-Destructing Messages and synchronous communication scales were examined. Direct relationships were examined with simple correlation. Finally, a complete model was tested using structural equation modeling. Results demonstrate that Snapchat users mainly share selfies that are mostly taken at home and primarily for communication with close friends and family. Also, results of SEM model indicate that Snapchat intensity was significantly related to Hyperpersonal communication (Walther, 1996). However, it was found that Social Presence, Ephemerality: Self-Destructing Messages scales are positive predictors of Ephemerality: Synchronicity. The findings are seen as an attempt to adapt the framework of Hyperpersonal theory (Walther, 1996). The results of the study will allow the researcher to better understand and measure the Ephemerality: Synchronicity and Hyperpersonal constructs as well as increase researchers understanding of the role of ephemerality nature of messaging in social media platforms